An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer

Lin Zhang, Hui Liu, Tzu Hung Hsiao, Yidong Chen, Yufei Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Integrative clinical outcome prediction models that combines gene expression and methylation profiles are investigated in this paper in order to reveal genomic features and models that bear important prognostic value. The models all include the integration and feature selection steps. In the integration step, a method to combine gene expression and methylation profiles is introduced. In the feature selection step, several approaches were investigated including the supervised principal component and the elastic net method to identify genes, whose expression or associate CpG methylation contribute to the clinical outcome. A set of 87 ovarian cancer patients was used in this study to evaluate the proposed methods. The test results showed that the integrative methods improved the prediction performance over those based on gene expression alone.

Original languageEnglish (US)
Title of host publicationProceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
Pages103-106
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 - Washington, DC, United States
Duration: Dec 2 2012Dec 4 2012

Publication series

NameProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)2150-3001
ISSN (Electronic)2150-301X

Other

Other2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
CountryUnited States
CityWashington, DC
Period12/2/1212/4/12

    Fingerprint

Keywords

  • clinical outcome prediction
  • data integration
  • elastic net
  • ovarian cancer

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Signal Processing
  • Biomedical Engineering

Cite this

Zhang, L., Liu, H., Hsiao, T. H., Chen, Y., & Huang, Y. (2012). An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer. In Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 (pp. 103-106). [6507739] (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). https://doi.org/10.1109/GENSIPS.2012.6507739